Grid-Aware Real-Time Control and Balancing Between Microgrids
Jens H\"onen, Johann L. Hurink, Bert Zwart

TL;DR
This paper introduces a real-time control method for microgrids that implements day-ahead plans, ensuring feasibility, grid constraint compliance, and proper power distribution, demonstrated through a case study.
Contribution
It presents a novel three-step real-time balancing approach for microgrids that bridges the gap between day-ahead planning and real-time execution.
Findings
The approach ensures device feasibility in real-time.
It maintains grid constraints using DC power flow.
The method performs comparably to optimal offline algorithms.
Abstract
Due to the energy transition, lots of research has been conducted within the last decade on the topics of energy management systems or local energy trading approaches, often on the day-ahead or intraday level. A large majority of these approaches focuses on 15 or 60-minute time intervals for their operation, however, the question of how the planned solutions are realized within these time intervals is often left unanswered. Within this work, we aim to close this gap and propose a real-time balancing and control approach for a set of microgrids, which implements the day-ahead solutions. The approach is based on a three-step framework, in which the first step consists of ensuring the feasibility of devices within the microgrids. The second step focuses on the grid constraints of the connecting medium voltage grid using the DC power flow formulation due to the running time requirements of…
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Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Energy Management · Optimal Power Flow Distribution
MethodsSparse Evolutionary Training
